TY - GEN
T1 - A fault-tolerant acoustic sensor network for monitoring underwater pipelines
AU - Mohamed, Nader
AU - Al-Muhairi, Latifa
AU - Al-Jaroodi, Jameela
AU - Jawhar, Imad
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/18
Y1 - 2014/9/18
N2 - Underwater Acoustic Sensor Networks (UASNs) can be used to monitor long underwater pipeline structures for oil, gas, and water. In this case, a special type of UASNs, UASN-P (UASN for long pipelines) is used. One of the main challenges of using UASN-P is the reliability of the connections among the nodes. Faults in a few contiguous nodes may cause the creation of holes which will result in dividing the network into multiple disconnected segments. As a result, sensor nodes that are located between holes may not be able to deliver their sensed information which negativity affects the network sensing coverage. This paper provides an analysis of the different types of faults in UASN-P and studies their negative impact on the sensing coverage. We utilize Autonomous Underwater Vehicles (AUVs) and develop two models to overcome these faults and enhance coverage. The first model utilizes AUVs to function as mobile sensor nodes to cover the network holes while the second model uses the AUVs to deliver and deploy fixed sensor nodes in the network holes to replace faulty nodes. In both models, placed nodes can provide additional sensing coverage as well as enable connectivity among disconnected segments in the UASN-P. A strategy for best allocation using a limited number of sensors or sensing vehicles is developed. In addition, evaluations and comparison between both models are provided.
AB - Underwater Acoustic Sensor Networks (UASNs) can be used to monitor long underwater pipeline structures for oil, gas, and water. In this case, a special type of UASNs, UASN-P (UASN for long pipelines) is used. One of the main challenges of using UASN-P is the reliability of the connections among the nodes. Faults in a few contiguous nodes may cause the creation of holes which will result in dividing the network into multiple disconnected segments. As a result, sensor nodes that are located between holes may not be able to deliver their sensed information which negativity affects the network sensing coverage. This paper provides an analysis of the different types of faults in UASN-P and studies their negative impact on the sensing coverage. We utilize Autonomous Underwater Vehicles (AUVs) and develop two models to overcome these faults and enhance coverage. The first model utilizes AUVs to function as mobile sensor nodes to cover the network holes while the second model uses the AUVs to deliver and deploy fixed sensor nodes in the network holes to replace faulty nodes. In both models, placed nodes can provide additional sensing coverage as well as enable connectivity among disconnected segments in the UASN-P. A strategy for best allocation using a limited number of sensors or sensing vehicles is developed. In addition, evaluations and comparison between both models are provided.
KW - Autonomous Underwater Vehicles
KW - Communication Reliability
KW - Fluid Leak Detection
KW - Long Pipeline Structure Monitoring
KW - Sensing Coverage
KW - Underwater Acoustic Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=84908618111&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908618111&partnerID=8YFLogxK
U2 - 10.1109/HPCSim.2014.6903782
DO - 10.1109/HPCSim.2014.6903782
M3 - Conference contribution
AN - SCOPUS:84908618111
T3 - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
SP - 877
EP - 884
BT - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
A2 - Smari, Waleed
A2 - Zeljkovic, Vesna
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
Y2 - 21 July 2014 through 25 July 2014
ER -